Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients

@article{Yoo2018ComparisonOG,
  title={Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients},
  author={Chulsang Yoo and Eunsaem Cho},
  journal={Water},
  year={2018},
  volume={10},
  pages={28}
}
This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipitation Climatology Project (GPCP) data) are available. Both the GCM predictions of precipitation and the GPCP data were compared for three data structures—the global, zonal, and grid mean—with conventional statistics like the root mean square… 

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References

SHOWING 1-10 OF 60 REFERENCES
EVALUATION OF GFDL GCM CLIMATE VARIABILITY USING EOFS OF ZONAL AVERAGE TEMPERATURE DATA
  • C. Yoo
  • Environmental Science
  • 2004
In this study the GFDL GCM generated (controlled run) zonal average temperature data are evaluated by comparing their EOFs with those from observed data. Even though the correlation matrices of
Evaluation of the Global Climate Models in the CMIP5 over the Tibetan Plateau
AbstractThe performance of 24 GCMs available in the fifth phase of the Coupled Model Intercomparison Project (CMIP5) is evaluated over the eastern Tibetan Plateau (TP) by comparing the model outputs
Assessing the Performance of CMIP5 GCMs for Various Climatic Elements and Indicators over the Southeast US
The goal of this study is to demonstrate the diversity of model performance for various climatic elements and indicators. We evaluated the skills of the most advanced 17 General Circulation Models
Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations
We evaluate the representation of dynamic sea surface height (SSH) fields of 33 global coupled models (GCMs) contributed to the fifth phase of the Coupled Model Intercomparison Project (CMIP5). We
Evaluation of historical and future simulations of precipitation and temperature in central Africa from CMIP5 climate models
Global and regional climate change assessments rely heavily on the general circulation model (GCM) outputs such as provided by the Coupled Model Intercomparison Project phase 5 (CMIP5). Here we
NAO and PNA influences on winter temperature and precipitation over the eastern United States in CMIP5 GCMs
Abstract The historical and future relationships between two major patterns of large-scale climate variability, the North Atlantic Oscillation (NAO) and the Pacific/North America pattern (PNA), and
An Uncertainty Assessment for Annual Variability of Precipitation Simulated by AOGCMs Over East Asia
An uncertainty assessment for precipitation datasets simulated by Atmosphere-Ocean Coupled General Circulation Model (AOGCM) is conducted to provide reliable climate scenario over East Asia. Most of
GCM simulations of the Indian Ocean dipole influence on East African rainfall: Present and future
Six coupled GCMs are assessed in terms of their ability to simulate observed characteristics of East African rainfall, the Indian Ocean dipole and their temporal correlation. Model results are then
Systematic errors in the simulation of european climate (1961–2000) with RegCM3 driven by NCEP/NCAR reanalysis
Systematic errors of a European climate simulation (1961–2000) with RegCM3 were analyzed. Model results were compared to Climate Research Unit (CRU) observations. Average (AveB) and annual cycle
Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region
Two statistical downscaling models, the non-homogeneous hidden Markov model (NHMM) and the Statistical Down–Scaling Model (SDSM) were used to generate future scenarios of both mean and extremes in
...
...